📝 LinkedIn Profile & Company Posts Scraper Pro

Scrape all posts from LinkedIn profiles and company pages — including full text, images, videos, articles, and engagement stats (likes, comments, shares, reaction breakdown).

No LinkedIn account or cookies required.

💡 For other LinkedIn tools by Dende Labs, check: https://apify.com/dendelabs

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✨ Key Features

Feature	Description
🔄 Auto-pagination	One run extracts ALL posts. No manual page management.
👤 Profiles & Companies	Scrape posts from personal profiles and company pages in one run.
📝 Full content	Complete post text, images, videos, shared articles, and links.
📊 Engagement stats	Likes, comments, shares, plus reaction breakdown by type.
🔁 Repost detection	Identifies reposts and includes original author info.
⏰ Time filters	Only get posts from the last 24h, week, or month.
🎬 Content type filters	Filter by videos, images, documents, or job posts.
📦 Batch processing	Multiple profiles and companies in a single run.
🔐 No cookies needed	No risk of account restrictions or bans.

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📥 Input

Basic Usage — Profile Posts

{
  "profiles": [
    "https://www.linkedin.com/in/satyanadella/"
  ]
}

Basic Usage — Company Posts

{
  "companies": [
    "https://www.linkedin.com/company/microsoft/"
  ]
}

All Input Parameters

Parameter	Type	Required	Default	Description
profiles	string[]	No*	[]	LinkedIn profile URLs
companies	string[]	No*	[]	LinkedIn company page URLs
maxPosts	integer	No	0	Max posts per source. 0 = unlimited
postedLimit	string	No	none	Time filter: 24h, week, month, or none
contentType	string	No	all	Content filter: videos, images, documents, jobs, or all
sortBy	string	No	date	Sort by date (most recent) or relevance
latestPostOnly	boolean	No	false	Only fetch the most recent post per source. Useful for checking if new posts exist before a full scrape.

*At least one profile or company URL is required.

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📤 Output

Post Example

{
  "author_name": "Satya Nadella",
  "content": "Today at Microsoft Build, we showed you how AI agents are transforming every layer of the application stack...",
  "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7302346926123798528/",
  "posted_at": "2026-03-15T14:30:00.000Z",
  "posted_ago": "2 weeks ago",
  "is_repost": false,
  "images": [
    "https://media.licdn.com/dms/image/v2/..."
  ],
  "video_url": null,
  "article": null,
  "engagement": {
    "total_reactions": 15234,
    "comments": 892,
    "shares": 1205,
    "reactions": [
      { "type": "LIKE", "count": 10000 },
      { "type": "PRAISE", "count": 3000 },
      { "type": "EMPATHY", "count": 1500 },
      { "type": "APPRECIATION", "count": 500 },
      { "type": "INTEREST", "count": 234 }
    ]
  },
  "author": {
    "name": "Satya Nadella",
    "username": "satyanadella",
    "headline": "Chairman and CEO at Microsoft",
    "linkedinUrl": "https://www.linkedin.com/in/satyanadella/",
    "avatar": "https://media.licdn.com/dms/image/v2/..."
  },
  "reposted_by": null,
  "_metadata": {
    "post_id": "urn:li:activity:7302346926123798528",
    "extracted_at": "2026-03-30T12:00:00.000Z",
    "source_url": "https://www.linkedin.com/in/satyanadella/"
  }
}

Post with Article

When a post shares an external article:

{
  "author_name": "Bill Gates",
  "content": "This is a great read on the future of energy...",
  "article": {
    "title": "The Future of Clean Energy",
    "link": "https://example.com/article",
    "description": "How new technologies are making clean energy cheaper than ever."
  },
  "images": [],
  "video_url": null
}

Repost Example

When someone reposts another person's content:

{
  "author_name": "Original Author",
  "content": "Original post content...",
  "is_repost": true,
  "reposted_by": {
    "name": "Person Who Reposted",
    "linkedinUrl": "https://www.linkedin.com/in/reposter/"
  }
}

Output Fields Reference

Field	Type	Description
author_name	string	Name of the post author
content	string	Full text content of the post
post_url	string	Direct link to the post on LinkedIn
posted_at	string	ISO timestamp of when the post was published
posted_ago	string	Human-readable time since posting (e.g., "2 weeks ago")
is_repost	boolean	true if this is a repost/share of another post
images	string[]	Array of image URLs attached to the post
video_url	string | null	Video URL if the post contains a video
article	object | null	Shared article details (title, link, description)
engagement.total_reactions	integer	Total number of reactions (all types combined)
engagement.comments	integer	Total number of comments
engagement.shares	integer	Total number of shares/reposts
engagement.reactions	array	Breakdown by reaction type with counts
author.name	string	Author's full name
author.username	string | null	Author's LinkedIn username (e.g., "satyanadella")
author.headline	string	Author's LinkedIn headline
author.linkedinUrl	string	Author's LinkedIn profile URL (with friendly slug)
author.avatar	string | null	Author's profile photo URL
reposted_by	object | null	Who reposted (name + LinkedIn URL), if applicable
_metadata.post_id	string	LinkedIn activity URN
_metadata.extracted_at	string	ISO timestamp of extraction
_metadata.source_url	string	The profile/company URL you provided as input

---

📌 Examples

Example 1: Get all posts from a profile

{
  "profiles": ["https://www.linkedin.com/in/satyanadella/"]
}

Example 2: Get posts from multiple profiles and companies

{
  "profiles": [
    "https://www.linkedin.com/in/satyanadella/",
    "https://www.linkedin.com/in/billgates/"
  ],
  "companies": [
    "https://www.linkedin.com/company/microsoft/",
    "https://www.linkedin.com/company/google/"
  ]
}

Example 3: Only posts from the last week

{
  "profiles": ["https://www.linkedin.com/in/satyanadella/"],
  "postedLimit": "week"
}

Example 4: Only video posts

{
  "profiles": ["https://www.linkedin.com/in/satyanadella/"],
  "contentType": "videos"
}

Example 5: Limit to 50 most recent posts

{
  "profiles": ["https://www.linkedin.com/in/satyanadella/"],
  "maxPosts": 50,
  "sortBy": "date"
}

Example 6: Company posts from the last month

{
  "companies": ["https://www.linkedin.com/company/openai/"],
  "postedLimit": "month"
}

Example 7: Check latest post before full scrape

Use latestPostOnly to quickly check if a profile has posted recently — without scraping all posts. Makes just one API call per source.

{
  "profiles": ["https://www.linkedin.com/in/satyanadella/"],
  "latestPostOnly": true
}

Output:

{
  "source_url": "https://www.linkedin.com/in/satyanadella/",
  "latest_post_id": "7443616640333803520",
  "latest_post_url": "https://www.linkedin.com/posts/...",
  "latest_post_date": "2026-03-28T11:15:02.765Z",
  "latest_post_ago": "3 days ago",
  "latest_post_likes": 32,
  "latest_post_comments": 10,
  "extracted_at": "2026-03-31T12:00:00.000Z"
}

💡 Use this to monitor profiles for new activity. Compare latest_post_date with your last full scrape to decide if a new run is needed.

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🤖 Integration with AI Agents

This actor is optimized for use with AI agents and LLMs via the Apify MCP server.

Output Schema

Each item in the dataset represents one LinkedIn post. Key fields for agent consumption:

• author_name — Who wrote the post
• content — Full post text for analysis
• likes, comments, shares — Engagement metrics
• engagement.reactions — Detailed reaction breakdown
• posted_at — For temporal analysis
• post_url — Direct link back to LinkedIn

Example Agent Prompts

"Get all posts from Satya Nadella's profile in the last month and summarize the main topics he discussed."

"Scrape posts from Microsoft and Google's company pages and compare their engagement rates."

"Find all video posts from this influencer's profile and rank them by total engagement."

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🎯 Use Cases

• 📈 Content analysis — Understand what topics and formats drive the most engagement
• 🔎 Competitive intelligence — Monitor competitor posting activity, frequency, and engagement
• 👥 Influencer research — Analyze posting patterns of thought leaders in your industry
• 💼 Social selling — Track prospect activity to find timely conversation starters
• 📊 Benchmarking — Compare engagement metrics across profiles and companies
• 🗂️ Content archival — Back up posts with full text, media, and engagement data

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.